A general tool to construct case library for industrial area redevelopment

T. Wang, Joran Jessurun, Q. Han, B. de Vries

Research output: Contribution to conferenceAbstractAcademic

Abstract

Abandoned industrial area redevelopment is of great importance for regional sustainability. However it is difficult to decide how one industrial area can be redeveloped because of the complexity involved, including but not limited to, expectation from various stakeholders, large amount of investment and impacts on environment, society and economy. Learning from past redevelopment cases could significantly improve the quality of decision making and reduce the time needed by providing practical experience. Specially in urban planning, only cases that have similar demographic and spatial characteristics could be considered as possible reference for a new case. To construct such case library, a large amount of data which is not easily obtained is needed.

To overcome the data shortage problem, a simple and straightforward method is proposed to construct industrial area redevelopment case library. Only land use maps and zoning plan maps are needed. A decision support tool, which provides an easy and general starting point for industrial area redevelopment decision process, is developed using FME. North Brabant region in the Netherlands is used as a case study. Spatial statistical analysis is presented for characterizing the region’s industrial area redevelopment process. Several steps are implemented to tackle unstructured and incomplete data. As a result, a case library is constructed. Further research is needed for coding different types of attributes in the case library so that artificial intelligence and machine learning techniques can be applied for further development of the decision and planning support system.
Original languageEnglish
Pages217
Publication statusPublished - 5 Sep 2015
Event17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany - Freiberg, Germany
Duration: 5 Sep 201513 Sep 2015
http://www.iamg2015.de/

Conference

Conference17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany
Abbreviated titleIAMG 2015
CountryGermany
CityFreiberg
Period5/09/1513/09/15
Internet address

Fingerprint

redevelopment
artificial intelligence
urban planning
zoning
statistical analysis
stakeholder
learning
decision making
library
industrial area
sustainability
land use
decision

Cite this

Wang, T., Jessurun, J., Han, Q., & de Vries, B. (2015). A general tool to construct case library for industrial area redevelopment. 217. Abstract from 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany, Freiberg, Germany.
Wang, T. ; Jessurun, Joran ; Han, Q. ; de Vries, B. / A general tool to construct case library for industrial area redevelopment. Abstract from 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany, Freiberg, Germany.
@conference{20314bd1832d4c2e9d5d377d16012687,
title = "A general tool to construct case library for industrial area redevelopment",
abstract = "Abandoned industrial area redevelopment is of great importance for regional sustainability. However it is difficult to decide how one industrial area can be redeveloped because of the complexity involved, including but not limited to, expectation from various stakeholders, large amount of investment and impacts on environment, society and economy. Learning from past redevelopment cases could significantly improve the quality of decision making and reduce the time needed by providing practical experience. Specially in urban planning, only cases that have similar demographic and spatial characteristics could be considered as possible reference for a new case. To construct such case library, a large amount of data which is not easily obtained is needed. To overcome the data shortage problem, a simple and straightforward method is proposed to construct industrial area redevelopment case library. Only land use maps and zoning plan maps are needed. A decision support tool, which provides an easy and general starting point for industrial area redevelopment decision process, is developed using FME. North Brabant region in the Netherlands is used as a case study. Spatial statistical analysis is presented for characterizing the region’s industrial area redevelopment process. Several steps are implemented to tackle unstructured and incomplete data. As a result, a case library is constructed. Further research is needed for coding different types of attributes in the case library so that artificial intelligence and machine learning techniques can be applied for further development of the decision and planning support system.",
author = "T. Wang and Joran Jessurun and Q. Han and {de Vries}, B.",
year = "2015",
month = "9",
day = "5",
language = "English",
pages = "217",
note = "17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany, IAMG 2015 ; Conference date: 05-09-2015 Through 13-09-2015",
url = "http://www.iamg2015.de/",

}

Wang, T, Jessurun, J, Han, Q & de Vries, B 2015, 'A general tool to construct case library for industrial area redevelopment', 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany, Freiberg, Germany, 5/09/15 - 13/09/15 pp. 217.

A general tool to construct case library for industrial area redevelopment. / Wang, T.; Jessurun, Joran; Han, Q.; de Vries, B.

2015. 217 Abstract from 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany, Freiberg, Germany.

Research output: Contribution to conferenceAbstractAcademic

TY - CONF

T1 - A general tool to construct case library for industrial area redevelopment

AU - Wang, T.

AU - Jessurun, Joran

AU - Han, Q.

AU - de Vries, B.

PY - 2015/9/5

Y1 - 2015/9/5

N2 - Abandoned industrial area redevelopment is of great importance for regional sustainability. However it is difficult to decide how one industrial area can be redeveloped because of the complexity involved, including but not limited to, expectation from various stakeholders, large amount of investment and impacts on environment, society and economy. Learning from past redevelopment cases could significantly improve the quality of decision making and reduce the time needed by providing practical experience. Specially in urban planning, only cases that have similar demographic and spatial characteristics could be considered as possible reference for a new case. To construct such case library, a large amount of data which is not easily obtained is needed. To overcome the data shortage problem, a simple and straightforward method is proposed to construct industrial area redevelopment case library. Only land use maps and zoning plan maps are needed. A decision support tool, which provides an easy and general starting point for industrial area redevelopment decision process, is developed using FME. North Brabant region in the Netherlands is used as a case study. Spatial statistical analysis is presented for characterizing the region’s industrial area redevelopment process. Several steps are implemented to tackle unstructured and incomplete data. As a result, a case library is constructed. Further research is needed for coding different types of attributes in the case library so that artificial intelligence and machine learning techniques can be applied for further development of the decision and planning support system.

AB - Abandoned industrial area redevelopment is of great importance for regional sustainability. However it is difficult to decide how one industrial area can be redeveloped because of the complexity involved, including but not limited to, expectation from various stakeholders, large amount of investment and impacts on environment, society and economy. Learning from past redevelopment cases could significantly improve the quality of decision making and reduce the time needed by providing practical experience. Specially in urban planning, only cases that have similar demographic and spatial characteristics could be considered as possible reference for a new case. To construct such case library, a large amount of data which is not easily obtained is needed. To overcome the data shortage problem, a simple and straightforward method is proposed to construct industrial area redevelopment case library. Only land use maps and zoning plan maps are needed. A decision support tool, which provides an easy and general starting point for industrial area redevelopment decision process, is developed using FME. North Brabant region in the Netherlands is used as a case study. Spatial statistical analysis is presented for characterizing the region’s industrial area redevelopment process. Several steps are implemented to tackle unstructured and incomplete data. As a result, a case library is constructed. Further research is needed for coding different types of attributes in the case library so that artificial intelligence and machine learning techniques can be applied for further development of the decision and planning support system.

M3 - Abstract

SP - 217

ER -

Wang T, Jessurun J, Han Q, de Vries B. A general tool to construct case library for industrial area redevelopment. 2015. Abstract from 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), September 5-13, 2015, Freiberg, Germany, Freiberg, Germany.